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Sustainable economic developments in the australian energy sector: Findings of the australian energy planning system optimization model (AEPSOM)

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  • Islam, Sardar M.N.

Abstract

A multi-level optimization (MLO) model is used to study some of the energy issues pertinent to Australia's situation. These issues include selfsufficiency, conservation, sustainability, etc. This paper is an outline of the Australian Energy Planning System Optimization Model (AEPSOM) and the policy implications derived from the solution of this model. The model results suggest two important policy strategies for sustainable development of the energy sector: reduction in the use of energy and development of environmentally sound and renewable energy technologies. These changes are in the directions required for sustainable energy sectoral development in Australia.

Suggested Citation

  • Islam, Sardar M.N., 1997. "Sustainable economic developments in the australian energy sector: Findings of the australian energy planning system optimization model (AEPSOM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 1(3), pages 229-238, September.
    • Handle: RePEc:eee:rensus:v:1:y:1997:i:3:p:229-238
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    References listed on IDEAS

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    1. Islam, Sardar M. N., 1995. "The role of renewable energy in the energy system : An issue in the philosophy of renewal of natural resources," Energy Economics, Elsevier, vol. 17(2), pages 117-124, April.
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    Cited by:

    1. Mateusz Kurowski & Katarzyna Huk, 2021. "Selected Aspects of Corporate Social Responsibility in the Industry Related to the Production and Supply of Energy," Energies, MDPI, vol. 14(23), pages 1-16, November.
    2. Katarzyna Huk & Mateusz Kurowski, 2021. "The Environmental Aspect in the Concept of Corporate Social Responsibility in the Energy Industry and Sustainable Development of the Economy," Energies, MDPI, vol. 14(18), pages 1-17, September.
    3. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Lin, Q.G. & Tan, Q., 2009. "Community-scale renewable energy systems planning under uncertainty--An interval chance-constrained programming approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 721-735, May.
    4. Liu, Y. & Huang, G.H. & Cai, Y.P. & Cheng, G.H. & Niu, Y.T. & An, K., 2009. "Development of an inexact optimization model for coupled coal and power management in North China," Energy Policy, Elsevier, vol. 37(11), pages 4345-4363, November.
    5. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    6. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.

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